8 December 2011 A structured sub-pixel target detection method base on manifold learning method
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Proceedings Volume 8002, MIPPR 2011: Multispectral Image Acquisition, Processing, and Analysis; 80020N (2011) https://doi.org/10.1117/12.903203
Event: Seventh International Symposium on Multispectral Image Processing and Pattern Recognition (MIPPR2011), 2011, Guilin, China
Abstract
The manifold learning theory is firstly used to transform the hyperspectral images into a low-dimension feature spaces. The reconstruction error is computed to get discriminative information. Then a structured matched subspace detector is developed. This method can effectively avoid the contamination by targets and spectral anomalies to backgrounds subspace and detect sub-pixel targets with better performance than traditional methods.
© (2011) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Bo Du, Bo Du, Dengyi Zhang, Dengyi Zhang, Tao Chen, Tao Chen, Ke Wu, Ke Wu, } "A structured sub-pixel target detection method base on manifold learning method", Proc. SPIE 8002, MIPPR 2011: Multispectral Image Acquisition, Processing, and Analysis, 80020N (8 December 2011); doi: 10.1117/12.903203; https://doi.org/10.1117/12.903203
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